Assessing Transit-Oriented Development Impacts on Local Economic Resilience

Thesis Abstract

This study investigates how Transit-Oriented Development (TOD) configurations influence local economic resilience in medium-sized urban regions undergoing rapid transit expansion. The context is underpinned by policy shifts toward higher-density, mixed-use development around rail and bus rapid transit corridors, with resilience framed as the capacity of local economies to absorb shocks, adapt to changes in demand, and recover swiftly from disruptions. The aim is to quantify the causal pathways through which TOD attributes—pedestrian accessibility, mixed land use, housing affordability, and transit frequency—affect employment stability, business turnover, and income diversity during normal conditions and perturbations such as economic downturns or service interruptions. Specific objectives are (i) to identify TOD design features most strongly associated with local economic resilience indicators; (ii) to estimate the relative contribution of accessibility, land-use mix, and housing affordability to business continuity and job retention; (iii) to test whether micro-scale streetscape and permeability variables mediate the TOD–resilience relationship; and (iv) to develop a practical TOD assessment framework for regional planning practice. The methodology adopts a mixed-methods, explanatory sequential design. A cross-sectional quantitative phase will survey 420 firms and 600 residents across three TOD precincts and two control areas lacking dense TOD features, chosen within a 60-kilometer metropolitan region in a European country. Data collection employs structured questionnaires for business performance metrics (revenue stability, employee retention, customer footfall) and resident socioeconomic outcomes (income volatility, commute reliability, relocation propensity), supplemented by official employment and transit ridership data from municipal agencies. In-depth qualitative insights will be drawn from 40 semi-structured interviews with urban planners, local business associations, and residents, complemented by 12 focus groups with small businesses to capture perception-based dimensions of resilience. Instrument validity and reliability will be established through pilot testing, exploratory factor analysis for latent resilience constructs, and Cronbach’s alpha thresholds above 0.70. Quantitative analysis will proceed with hierarchical linear modeling (HLM) to account for nested data structures (businesses and residents within TOD precincts) and fixed and random effects of precinct-level TOD attributes. Structural equation modeling (SEM) will test the theoretical pathways linking TOD features (accessibility, land-use diversity, housing affordability, transit frequency) to resilience outcomes (economic diversification, employment continuity, revenue volatility, and recovery speed) while assessing mediation by pedestrian permeability and street connectivity. Time-series analysis will incorporate a quasi-experimental difference-in-differences approach using pre- and post- TOD implementation indicators where available, to isolate policy-driven effects. GIS-based spatial analytics will quantify proximity to transit nodes, walkability scores, and land-use mix indices to enrich the modeling framework. Anticipated findings include (i) stronger associations between high-density, mixed-use TOD around major transit nodes and improved business continuity during economic shocks; (ii) accessibility and transit frequency exerting significant direct effects on employment retention and income stability, with land-use diversity enhancing revenue resilience through diversified customer bases; (iii) permeability metrics serving as critical mediators amplifying the resilience benefits of TOD; and (iv) diminishing marginal returns for affordability constraints if housing rents erode business viability in over-stretched precincts. The study contributes to knowledge by integrating resilience theory with TOD performance metrics, operationalizing a robust, transferable TOD resilience framework, and offering empirical evidence on how transit-led development shapes local economic stability in the face of disruption. Policy implications include prioritizing high-frequency, pedestrian-oriented TOD corridors, ensuring affordable mixed-use development to sustain business in risk scenarios, and embedding resilience indicators in TOD monitoring dashboards. The conclusion posits that well-designed TOD can bolster local economic resilience, but requires careful balancing of density, affordability, and accessibility to realize sustained benefits, with recommendations for iterative evaluation, cross-sector collaboration, and adaptive planning in metropolitan regions experiencing transit investment.